Run
57237

Run 57237

Task 1812 (Supervised Classification) heart-c Uploaded 13-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I40
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8929
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
7.1453
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
743785499.8231
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8242
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.6452
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
779.0207
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0948
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2004
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1515
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8242
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8244
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.0792
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8244
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.4731
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.315
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.227
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.7207
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
946.197